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Improved 3D U-Net robustness against JPEG 2000 compression for male pelvic organ segmentation in radiotherapy
Purpose: Automation of organ segmentation, via convolutional neural networks (CNNs), is key to facilitate the work of medical practitioners by ensuring that the adequate radiation dose is delivered to the target area while avoiding harmful exposure of healthy organs. The issue with CNNs is that they...
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| Publicado no: | J Med Imaging (Bellingham) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8020060/ https://ncbi.nlm.nih.gov/pubmed/33842669 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.8.4.041207 |
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